samsung SM-A366W vs samsung SM-A366W
| samsung SM-A366W | samsung SM-A366W | Difference | |
|---|---|---|---|
| Single Precision | 755 | 755 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Half Precision | 782 | 782 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Quantized | 1357 | 1357 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| samsung SM-A366W | samsung SM-A366W | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | samsung SM-A366W | samsung SM-A366W |
| Processor |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Motherboard | parrot | parrot |
| Memory | 5.16 GB | 5.16 GB |
AI Performance
| samsung SM-A366W | samsung SM-A366W | Difference | |
|---|---|---|---|
| Image Classification (SP) | 193 | 193 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Classification (HP) | 232 | 232 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Classification (Q) | 1447 | 1447 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Segmentation (SP) | 488 | 488 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Segmentation (HP) | 518 | 518 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Segmentation (Q) | 1659 | 1659 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Pose Estimation (SP) | 1998 | 1998 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Pose Estimation (HP) | 1978 | 1978 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Pose Estimation (Q) | 3702 | 3702 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Object Detection (SP) | 378 | 378 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Object Detection (HP) | 456 | 456 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Object Detection (Q) | 1366 | 1366 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Face Detection (SP) | 1074 | 1074 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Face Detection (HP) | 1074 | 1074 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Face Detection (Q) | 3364 | 3364 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Depth Estimation (SP) | 793 | 793 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Depth Estimation (HP) | 796 | 796 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Depth Estimation (Q) | 1425 | 1425 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Style Transfer (SP) | 3597 | 3597 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Style Transfer (HP) | 3581 | 3581 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Style Transfer (Q) | 8520 | 8520 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Super-Resolution (SP) | 822 | 822 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Super-Resolution (HP) | 801 | 801 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Super-Resolution (Q) | 1735 | 1735 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Text Classification (SP) | 466 | 466 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Text Classification (HP) | 460 | 460 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Text Classification (Q) | 855 | 855 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Machine Translation (SP) | 725 | 725 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Machine Translation (HP) | 708 | 708 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Machine Translation (Q) | 29 | 29 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
